Unoccupied aerial systems imagery for phenoty** in cotton, maize, soybean, and wheat breeding

AW Herr, A Adak, ME Carroll, D Elango, S Kar… - Crop …, 2023 - Wiley Online Library
High‐throughput phenoty** (HTP) with unoccupied aerial systems (UAS), consisting of
unoccupied aerial vehicles (UAV; or drones) and sensor (s), is an increasingly promising …

[PDF][PDF] Drone-assisted plant disease identification using artificial intelligence: A critical review

H Slimani, J El Mhamdi… - International Journal of …, 2023 - pdfs.semanticscholar.org
Artificial intelligence has been incorporated into modern agriculture to increase agricultural
output and resource efficiency. Utilizing deep learning, particularly convolutional neural …

Deep Learning for Soybean Monitoring and Management

JGA Barbedo - Seeds, 2023 - mdpi.com
Artificial intelligence is more present than ever in virtually all sectors of society. This is in
large part due to the development of increasingly powerful deep learning models capable of …

Assessing the impact of soil and field conditions on cotton crop emergence using UAV-based imagery

F Tian, CJ Ransom, J Zhou, B Wilson… - … and Electronics in …, 2024 - Elsevier
Crop seeding rate is one of the crucial factors that affect crop production. However, acquiring
adequate crop data in multiple growing environments is time-consuming and challenging in …

[HTML][HTML] Estimating corn leaf chlorophyll content using airborne multispectral imagery and machine learning

F Tian, J Zhou, CJ Ransom, N Aloysius… - Smart Agricultural …, 2025 - Elsevier
Chlorophyll is crucial for photosynthesis and impacts plant growth and yield in crops.
Accurate estimation of plant health and fertilizer status is essential for effective nitrogen (N) …

Detection of Crop Damage in Maize Using Red–Green–Blue Imagery and LiDAR Data Acquired Using an Unmanned Aerial Vehicle

B Dobosz, D Gozdowski, J Koronczok, J Žukovskis… - Agronomy, 2025 - mdpi.com
Crop damage caused by wild animals, particularly wild boars (Sus scrofa), significantly
impacts agricultural yields, especially in maize fields. This study evaluates two methods for …

Chemical Weed Control and Crop Injuries Due to Spray Drift: The Case of Dicamba

E Travlou, N Antonopoulos, I Gazoulis, P Kanatas - Agrochemicals, 2024 - mdpi.com
Herbicide volatility and drift are serious problems for chemical weed control. The extended
use of dicamba, especially due to the commercial release of dicamba-resistant crops …

Management strategies for preventing and recovering from bermudagrass winterkill

WJ Hutchens, TQ Carr, AJ Patton… - Crop, Forage & …, 2024 - Wiley Online Library
Abstract Bermudagrass (Cynodon spp. Rich) is a warm‐season grass that is widely planted
throughout tropical, sub‐tropical, and even temperate climates, and it generally requires …

Cotton Emergence Uniformity Assessment Using Remote Sensing and Machine Learning

F Tian, J Zhou - 2023 ASABE Annual International Meeting, 2023 - elibrary.asabe.org
Seed emergence uniformity has a significant impact on plant vigor, emergence rate and
overall crop health, which ultimately affects fruit production. Identifying the optimal …

Quantifying Soybean Phenotypes Using UAV Imagery and Machine Learning, Deep Learning Methods

S Sarkar - 2023 - search.proquest.com
Crop breeding programs aim to introduce new cultivars to the world with improved traits to
solve the food crisis. Food production should need to be twice of current growth rate to feed …